As a Machine Learning Engineer at CGG, my day-to-day job includes ingesting, analyzing and transforming data, designing and developing scalable and robust machine learning pipelines and applications for the energy transition and energy industry. I collaborate with various SMEs to tailor our solutions towards the client and industry needs. My other responsibilities include documenting and communicating material to clients and stakeholders and working with software engineers to make our solutions more efficient and scalable.Before joining CGG, I conducted research on deep learning and computer vision as a Graduate Research Assistant at the American University of Beirut, while studying for my Master’s degree. I also mentored and assisted students as a Graduate Teaching Assistant for various subjects such as machine learning, electronics and embedded systems. I am passionate about applying my knowledge and skills to solve real-world problems and create valuable and impactful solutions. I am always eager to learn new technologies, tools, and methods, and to collaborate with diverse and talented professionals.